Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems
Sun Y, Ng DWK, Schober R (2015)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2015
Journal
Event location: San Diego, CA, USA
ISBN: 978-1-4799-5952-5
DOI: 10.1109/GLOCOM.2015.7416961
Abstract
In this paper, we investigate power efficient resource allocation algorithm design for multiuser wireless communication systems employing a full-duplex (FD) radio base station for serving multiple half-duplex (HD) downlink and uplink users simultaneously. We propose a multi-objective optimization framework for achieving two conflicting yet desirable system design objectives, i.e., total downlink transmit power minimization and total uplink transmit power minimization, while guaranteeing the quality-of-service of all users. To this end, the weighted Tchebycheff method is adopted to formulate a multi-objective optimization problem (MOOP). Although the considered MOOP is non-convex, we solve it optimally by semidefinite programming relaxation. Simulation results not only unveil the trade-off between the total downlink and the total uplink transmit power, but also confirm that the proposed FD system provides substantial power savings over traditional HD systems.
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APA:
Sun, Y., Ng, D.W.K., & Schober, R. (2015). Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems. In IEEE (Eds.), Proceedings of the Global Communications Conference (GLOBECOM). San Diego, CA, USA, US.
MLA:
Sun, Yan, Derrick Wing Kwan Ng, and Robert Schober. "Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems." Proceedings of the Global Communications Conference (GLOBECOM), San Diego, CA, USA Ed. IEEE, 2015.
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